Michela Ottaviani -

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Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

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Dive into the research topics where Michela Ottaviani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Sn-seeded Si nanowire growth on N-doped rGO for high-power lithium-ion battery anodes
Hennessy, A., Santa Maria, L. J., Granados-Moreno, M., Ajuria, J., Geaney, H., Ottaviani, M. & Ryan, K. M., 1 Mar 2026, In: Journal of Power Sources. 667, 239126.
Research output: Contribution to journal › Article › peer-review
Comprehensive machine learning approaches for modelling the state of charge of lithium-ion batteries
Rae, M., Ottaviani, M., Capkova, D., Kazda, T., Maria, L. J. S., Ryan, K. M., Passerini, S. & Singh, M., 1 Aug 2025, In: Journal of Power Sources. 646, 236929.
Research output: Contribution to journal › Article › peer-review

Open Access
7 Citations (Scopus)
Machine learning configurations for state of charge predictions of Li-ion batteries
Rae, M., Ottaviani, M., Capkova, D., Kazda, T. & Singh, M., May 2025, In: Monatshefte fur Chemie. 156, 5, p. 531-537 7 p., 114077.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Citations (Scopus)
Lithiophilic Nanowire Guided Li Deposition in Li Metal Batteries
Abdul Ahad, S., Bhattacharya, S., Kilian, S., Ottaviani, M., Ryan, K. M., Kennedy, T., Thompson, D. & Geaney, H., 11 Jan 2023, In: Small. 19, 2, 2205142.
Research output: Contribution to journal › Article › peer-review

Open Access
31 Citations (Scopus)

Findings from University of Limerick Reveals New Findings on Machine Learning (Machine Learning Configurations for State of Charge Predictions of Li-ion Batteries)
Ottaviani, M.
2/04/25
1 item of Media coverage
Press/Media
University of Limerick Reports Findings in Science (Improved Compatibility of a-NaMnO2 Cathodes at the Interface with Ionic Liquid Electrolytes)
Ottaviani, M.
20/06/24
1 item of Media coverage
Press/Media
Reports on Technology from Aix-Marseille University Provide New Insights (Microscopic Scales of Linear Tearing Modes: a Tutorial On Boundary Layer Theory for Magnetic Reconnection)
Ottaviani, M.
28/12/22
1 item of Media coverage
Press/Media

Dr Michela Ottaviani

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Sn-seeded Si nanowire growth on N-doped rGO for high-power lithium-ion battery anodes

Comprehensive machine learning approaches for modelling the state of charge of lithium-ion batteries

Machine learning configurations for state of charge predictions of Li-ion batteries

Lithiophilic Nanowire Guided Li Deposition in Li Metal Batteries

Findings from University of Limerick Reveals New Findings on Machine Learning (Machine Learning Configurations for State of Charge Predictions of Li-ion Batteries)

University of Limerick Reports Findings in Science (Improved Compatibility of a-NaMnO2 Cathodes at the Interface with Ionic Liquid Electrolytes)

Reports on Technology from Aix-Marseille University Provide New Insights (Microscopic Scales of Linear Tearing Modes: a Tutorial On Boundary Layer Theory for Magnetic Reconnection)

Dr Michela Ottaviani

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Sn-seeded Si nanowire growth on N-doped rGO for high-power lithium-ion battery anodes

Comprehensive machine learning approaches for modelling the state of charge of lithium-ion batteries

Machine learning configurations for state of charge predictions of Li-ion batteries

Lithiophilic Nanowire Guided Li Deposition in Li Metal Batteries

Press/Media

Findings from University of Limerick Reveals New Findings on Machine Learning (Machine Learning Configurations for State of Charge Predictions of Li-ion Batteries)

University of Limerick Reports Findings in Science (Improved Compatibility of a-NaMnO2 Cathodes at the Interface with Ionic Liquid Electrolytes)

Reports on Technology from Aix-Marseille University Provide New Insights (Microscopic Scales of Linear Tearing Modes: a Tutorial On Boundary Layer Theory for Magnetic Reconnection)